Guiying Li - RankMe

19 papers A* 3B 2Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Causal Inference-Based Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. Bingdong Li, Yanting Yang, Peng Yang, Guiying Li, Ke Tang, Aimin Zhou
2025	J	`jnl`	Hardware-Aware DNN Compression for Homogeneous Edge Devices. CoRR Kunlong Zhang, Guiying Li, Ning Lu, Peng Yang, Ke Tang
2024	J	`jnl`	Reducing idleness in financial cloud services via multi-objective evolutionary reinforcement learning based load balancer. Sci. China Inf. Sci. Peng Yang, Laoming Zhang, Haifeng Liu, Guiying Li
2024	J	`jnl`	Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Guiying Li, Peng Yang, Chao Qian, Richang Hong, Ke Tang
2023	J	`jnl`	Enabling surrogate-assisted evolutionary reinforcement learning via policy embedding. CoRR Lan Tang, Xiaxi Li, Jinyuan Zhang, Guiying Li, Peng Yang, Ke Tang
2023	—	`conf`	Noise-Tolerant Hardware-Aware Pruning for Deep Neural Networks. ICSI (2) Shun Lu, Cheng Chen, Kunlong Zhang, Yang Zheng, Zheng Hu, Wenjing Hong, Guiying Li, Xin Yao
2023	J	`jnl`	Reducing Idleness in Financial Cloud via Multi-objective Evolutionary Reinforcement Learning based Load Balancer. CoRR Peng Yang, Laoming Zhang, Haifeng Liu, Guiying Li
2022	—	`conf`	Enabling Surrogate-Assisted Evolutionary Reinforcement Learning via Policy Embedding. BIC-TA Lan Tang, Xiaxi Li, Jinyuan Zhang, Guiying Li, Peng Yang, Ke Tang
2022	—	`conf`	Reinforcement Learning Based Vertical Scaling for Hybrid Deployment in Cloud Computing. BIC-TA Jianqi Cao, Guiying Li, Peng Yang
2020	J	`jnl`	Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions. IEEE Trans. Neural Networks Learn. Syst. Yunwen Lei, Ting Hu, Guiying Li, Ke Tang
2019	J	`jnl`	Accelerate proposal generation in R-CNN methods for fast pedestrian extraction. Electron. Libr. Juncheng Wang, Guiying Li
2019	B	`conf`	Learning to Solve Capacitated Arc Routing Problems by Policy Gradient. CEC Han Li, Guiying Li
2018	A*	`conf`	Distributed Pareto Optimization for Subset Selection. IJCAI Chao Qian, Guiying Li, Chao Feng, Ke Tang
2018	A*	`conf`	Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error. IJCAI Chunhui Jiang, Guiying Li, Chao Qian, Ke Tang
2018	A*	`conf`	Optimization based Layer-wise Magnitude-based Pruning for DNN Compression. IJCAI Guiying Li, Chao Qian, Chunhui Jiang, Xiaofen Lu, Ke Tang
2017	—	`conf`	Dynamic and Adaptive Threshold for DNN Compression from Scratch. SEAL Chunhui Jiang, Guiying Li, Chao Qian
2017	—	`conf`	Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection. ISNN (1) Guiying Li, Junlong Liu, Chunhui Jiang, Liangpeng Zhang, Minlong Lin, Ke Tang
2016	B	`conf`	A trajectory-based approach for object detection from video. IJCNN Chunhui Jiang, Guiying Li, Junlong Liu, Yunfeng Liu, Ke Tang
2016	J	`jnl`	Relief Impression Image Detection : Unsupervised Extracting Objects Directly From Feature Arrangements of Deep CNN. CoRR Guiying Li, Junlong Liu, Chunhui Jiang, Ke Tang